Triple
T6051801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grinch (2018 film) |
E134811
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Cindy-Lou Who |
E391805
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cindy-Lou Who | Statement: [The Grinch (2018 film), mainCharacter, Cindy-Lou Who]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy-Lou Who Context triple: [The Grinch (2018 film), mainCharacter, Cindy-Lou Who]
-
A.
Cindy Lou Who
chosen
Cindy Lou Who is the kind-hearted little girl from Dr. Seuss's "How the Grinch Stole Christmas!" whose innocence and compassion help transform the Grinch.
-
B.
Winnie
Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
-
C.
Babs
Babs is a fictional character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
-
D.
Dorothy
Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
-
E.
Minnie
Minnie is the nickname of Aminda "Minnie" Badeau, likely used as her familiar or preferred given name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f802988190aafdb7cbb087c828 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d077fe48190af9f896df9028800 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:09 p.m.